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Joint ABS-UKCGG-CanGene-CanVar consensus regarding the use of CanRisk in clinical practice.

Tsoulaki, O; Tischkowitz, M; Antoniou, AC; Musgrave, H; Rea, G; Gandhi, A; Cox, K; Irvine, T; Holcombe, S; Eccles, D; et al. Tsoulaki, O; Tischkowitz, M; Antoniou, AC; Musgrave, H; Rea, G; Gandhi, A; Cox, K; Irvine, T; Holcombe, S; Eccles, D; Turnbull, C; Cutress, R; Meeting Attendees; Archer, S; Hanson, H (2024) Joint ABS-UKCGG-CanGene-CanVar consensus regarding the use of CanRisk in clinical practice. Br J Cancer, 130 (12). pp. 2027-2036. ISSN 0007-0920 https://doi.org/10.1038/s41416-024-02733-4

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Abstract

BACKGROUND: The CanRisk tool, which operationalises the Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm (BOADICEA) is used by Clinical Geneticists, Genetic Counsellors, Breast Oncologists, Surgeons and Family History Nurses for breast cancer risk assessments both nationally and internationally. There are currently no guidelines with respect to the day-to-day clinical application of CanRisk and differing inputs to the model can result in different recommendations for practice. METHODS: To address this gap, the UK Cancer Genetics Group in collaboration with the Association of Breast Surgery and the CanGene-CanVar programme held a workshop on 16th of May 2023, with the aim of establishing best practice guidelines. RESULTS: Using a pre-workshop survey followed by structured discussion and in-meeting polling, we achieved consensus for UK best practice in use of CanRisk in making recommendations for breast cancer surveillance, eligibility for genetic testing and the input of available information to undertake an individualised risk assessment. CONCLUSIONS: Whilst consensus recommendations were achieved, the meeting highlighted some of the barriers limiting the use of CanRisk in clinical practice and identified areas that require further work and collaboration with relevant national bodies and policy makers to incorporate wider use of CanRisk into routine breast cancer risk assessments.

Item Type: Article
Additional Information: © The Author(s) 2024 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Keywords: Humans, Female, Breast Neoplasms, Risk Assessment, Genetic Testing, United Kingdom, Genetic Predisposition to Disease, Consensus, Algorithms, Genetic Counseling
SGUL Research Institute / Research Centre: Academic Structure > Institute of Medical, Biomedical and Allied Health Education (IMBE)
Journal or Publication Title: Br J Cancer
ISSN: 0007-0920
Language: eng
Media of Output: Print-Electronic
Related URLs:
Publisher License: Creative Commons: Attribution 4.0
Projects:
Project IDFunderFunder ID
MR/X502844/1Medical Research Councilhttp://dx.doi.org/10.13039/501100000265
PPRPGM-Nov20\100002Cancer Research UKhttps://doi.org/10.13039/501100000289
C61296/A27223Cancer Research UKhttps://doi.org/10.13039/501100000289
NIHR203312NIHR Cambridge Biomedical Research Centrehttps://doi.org/10.13039/501100018956
NIHR203320National Institute for Health and Care Research Exeter Biomedical Research CentreUNSPECIFIED
URI: https://openaccess.sgul.ac.uk/id/eprint/117500
Publisher's version: https://doi.org/10.1038/s41416-024-02733-4

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